Sirinaovakul, B., Limudomsuk, T.: Maximum weight matching and Genetic Algorithm for fixed-shape facility layout problem. Int. J. Prod. Res. 45 , 2655–2672 (2007) MATHSirinaovakul, B. and Limudomsuk, T. (2007) `Maximum weight matching and genetic algorithm for fixed-shape facility ...
Maximum weight matching in ATM switching has advantages of high throughput and good performance. ATM交换中的赋权匹配有吞吐率高、性能好的优点,但是算法复杂度高,难以实时实现。 www.dictall.com 2. An ADD-based Algorithm for Maximum Weight Matching in Bipartite Graphs 二部图最大权匹配的符号ADD算法 il...
Given an instance (A,B,T,ω) of the NTSP, the algorithm SelectTrape in Algorithm 1 computes the optimal weight in O(zlogn+n) or O(z+n2) time and in O(z+n) space, where z=|T|. Proof We show that μˆγ(q)=μγ(i−1,q) holds at the beginning of the outer for-loop...
Furthermore, if the 3SAT instance has no satisfying truth assignment, then any optimal solution of the instance of Min–Max Weighted Matching has a value 4 or greater. Thus, if there is a polynomial or a pseudopolynomial approximation algorithm with the worst-case ratio less than 2, this ...
The maximum weight matching problem (MWM for short) is to find a maximum weight matching of a given graph. Polynomial algorithms for finding an optimum solution to MWM have already been proposed: for example, an O(|V|) time algorithm proposed by J. Edmonds, and an O(|E||V| log|V|)...
1. Maximum Cardinality Matching in Bipartite Graphs Uses theAugmenting Pathalgorithm, which performs in O(e * v) where e is the number of edges, and v, the number of vertexes (benchmark). require'graph_matching'g=GraphMatching::Graph::Bigraph[1,3,1,4,2,3]m=g.maximum_cardinality_matc...
Based onmulti-hoproutingmechanism,proposesamulti-outputSwitchingfabricanddual-pointermaximum-weight-firstschedulingalgorithm. 基于多一下跳路由机制,提出一种区分排队的多个可选端口输出交换结构以及双指针最大权重优先调度算法。 lib.cqvip.com 6. Bothtopspeedandsprinttimes arelikelyless impressivewhenthecarisloaded...
In this paper,based on the statistical smoothing strategy,a image region feature generative probability estimation method is proposed by exploiting maximum weight matching algorithm. 使用最大权匹配算法,结合统计平滑技术,提出图像区域特征生成概率估计方法,并进一步对训练集中标注词之间的语义相关性(correlation)...
In this paper,based on the statistical smoothing strategy,a image region feature generative probability estimation method is proposed by exploitingmaximum weight matchingalgorithm. 使用最大权匹配算法,结合统计平滑技术,提出图像区域特征生成概率估计方法,并进一步对训练集中标注词之间的语义相关性(correlation)进行分...
Summary: The weighted matching problem is to find a matching in a weighted graph that has maximum weight. The fastest known algorithm for this problem has ... DE Drake,S Hougardy - 《Lecture Notes in Computer Science》 被引量: 60发表: 2003年 Multithreaded Algorithms for Maxmum Matching in ...